基于机器学习的智能光电对抗系统研究  

Research on Intelligent Electro-optical Countermeasure System Based on Machine Learning

作　　者：高世阳 王煜东 GAO Shi-yang;WANG Yu-dong(The Third Military Representative Office ofHaizhuang Beijing Bureau in Tianjin,Tianjin 300000,China;Academy of Opto-Electronic,China Electronics Technology Group Corporation(AOE CETC),Tianjin 300308,China)

机构地区：[1]海装北京局驻天津地区第三军事代表室,天津300000 [2]中国电子科技集团公司光电研究院,天津300308

出　　处：《光电技术应用》2020年第5期13-19,共7页Electro-Optic Technology Application

摘　　要：随着以机器学习为核心实现手段的人工智能快速发展,世界各国开始探寻人工智能技术在军事领域中的应用。为了应对越发复杂的现代化战场环境,传统的电子战正逐步向智能电子战演变。探究作为电子战重要组成部分的光电对抗技术,提出了智能光电对抗系统的总体方案,并分析了智能光电对抗系统的能力特点,为实现光电对抗智能化提供了研究思路。With the rapid development of artificial intelligence with machine learning as the core realization method,countries in the world have begun to explore the applications of artificial intelligence technology in military field.In order to deal with the increasingly complex modern battlefield environment,traditional electronic warfare is gradually evolved to intelligent electronic warfare.The electro-optical countermeasure technology as an important part of electronic warfare is explored,an overall plan for an intelligent electro-optical countermeasure system is proposed,and the capabilities and characteristics of the intelligent electro-optical countermeasure system are analyzed,which provides research ideas for the realization of intelligent electro-optical countermeasure.

关 键 词：机器学习 智能 电子战 光电对抗 

分 类 号：TN977[电子电信—信号与信息处理]